Training linguists and language undergraduates/graduates in computing and machine learning while concomitantly training undergraduates/graduates/programmers/engineers in the basics of language and linguistics. In order to achieve this, we will introduce new course modules that will be integrated into our universities' curricula and develop certification courses for both industrial and academic participants. In addition, we will foster an internship program that will allow students of our various universities to conduct an internship at one of the partner universities.
Develop Course Modules and Certification Courses:
For university undergraduate/graduate students
For programmers/engineers in industry
Ensure sustainable access to the Modules and Certification courses via on-line platforms and making the courses and material available on-line
Internship Program for undergraduate students
Strengthening capacity in text, speech and image (script) processing for South Asian languages including computational research into the morphology, syntax, semantics, etc. needed for the development of digital corpora and tools needed for the study of such languages, and the development of NLP applications (e.g., speech recognisers, optical character/ handwritten character recognisers, translators, information retrieval and question-answering systems) for South Asian languages.
Advance the state-of-the-art in NLP technology for South Asian languages, enabling innovation and development in industry, thus mitigating the Digital Divide in South Asia
Integrate the results of our research into the newly developed Course Modules
Strengthening the capacity of the university administration to support IT for natural language processing and to enable sustainable data and software repositories along with an Open Science concept.
Develop and realise procedures and management plans for sustainable data and software repositories at partner universities
Extend IT capabilities for resource-intensive computing at partner universities
The third mission of universities will be realized by engagement with industry partners and by working towards a more inclusive access to NLP technology in order to close the Digital Divide